ICIP 2006, Atlanta, GA
 

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Atlanta Conv. & Vis. Bureau

 

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Paper Detail

Paper:MA-P5.6
Session:Image Representation, Rendering, Display, and Assesment
Time:Monday, October 9, 09:40 - 12:20
Presentation: Poster
Topic: Image Scanning, Display and Printing: Image Representation and Rendering
Title: DISCONTINUITY-ADAPTIVE DE-INTERLACING SCHEME USING MARKOV RANDOM FIELD MODEL
Authors: Min Li; University of California, San Diego 
 Truong Nguyen; University of California, San Diego 
Abstract: In this paper, a deinterlacing algorithm to find the optimal deinterlaced results given accuracy-limited motion information is proposed.The deinterlacing process is formulated as a Maximum A Posterior (MAP) - Markov Random Field (MRF)problem. The MAP solution is the one that minimizes an energy function. The energy function imposes discontinuity adaptive smoothness constraint upon the deinterlaced frame. Simulation results show that the {\small MAP-MRF} formulation is efficient and the high frequency noise is removed in a few iterations.